What an AI-First Private Capital Firm Looks Like

27 August 2026

2:30–3:15pm BST · 9:30–10:15am ET

About this session

For a general partner, AI lands on margin, firm valuation and the next fund's operating model, and on what you say when an LP or your IC asks what you are doing. Most GPs are working from a distorted picture: vendors on one side, sceptical partners on the other, and little reliable information about what comparable firms have achieved.

In 45 minutes we describe what an AI-first firm looks like from the perspective of someone accountable for all of it: where the returns have shown up and how large they are, what it does to management company economics and the cost of scaling AUM, how it changes the team you hire next, and how it comes up in LP diligence. We cover governance directly, including who owns AI risk in a partnership, what regulators are signalling, and your exposure on confidentiality and LP data. We also cover the cost of moving badly, from tools nobody adopts to initiatives with no owner to overclaiming to investors.

Agenda

Framing the decision. Why this sits with the partnership, and what is actually being decided.
What has demonstrably worked. An honest read on cycle times, error rates, capacity released, and cost.
Management company economics. The effect on margin, cost-to-scale-AUM, hiring, and how the firm is valued.
LPs and diligence. What sophisticated allocators are probing for, and what a credible answer sounds like.
Governance, risk and regulation. Ownership of AI risk, confidentiality and LP data, and the controls that must exist.
The cost of moving badly. Failed pilots, unadopted tools, absent owners, and overclaiming to investors.
A defensible firm-level position. What to decide now, what to defer, and how to communicate it.
Live Q&A

Frequently asked questions

What is Asset Class?

Asset Class is a platform built for private capital firms. It combines CRM, investor relations, fundraising, and portfolio management into a single connected platform built on Salesforce infrastructure, serving PE, VC, real estate, private debt, family offices, hedge funds, and wealth management firms.

Who uses Asset Class?

Asset Class is used globally by private capital firms across private equity, venture capital, real estate, private debt, family offices, hedge funds, registered investment advisers, wealth managers, corporate venture capital arms, and fund administrators, from emerging managers to large multi-strategy firms.

What problem does Asset Class solve?

Asset Class solves fragmented workflows at private capital firms by bringing CRM, investor relations, fundraising and portfolio reporting into one system of record, where every piece of data is connected, auditable and real-time. Athena, the AI layer of Asset Class, answers plain-language questions on any record and drafts reports and follow-ups for your team to approve. Every answer cited to source.

Is Asset Class built on Salesforce?

Yes, Asset Class is built on Salesforce's Force.com platform, inheriting the world's leading CRM engine, enterprise-grade security, and access to thousands of pre-integrated apps on the Salesforce AppExchange. Existing Salesforce clients can easily deploy Asset Class within their current org.

How does Asset Class help private capital firms grow?

Asset Class helps private capital firms grow by automating fundraising, investor onboarding, capital calls, distributions and portfolio reporting on one platform, so teams can spend their time on deals and investor relationships. Athena, the AI layer of Asset Class, ranks your book by opportunity with its Relationship Score and drafts tailored follow-ups for your team to approve, so firms engage the right LPs first.

What is Athena in Asset Class?

Athena, the AI layer of Asset Class, gives every member of your team their own Claude-embedded AI agent for investor relations, business development, finance, compliance or portfolio management. Each agent works only within that person's permissions. Athena reads your firm's data, drafts the work and queues it for review. Your team approves, amends or rejects each item, and the decision, approver and timestamp are recorded.

Which AI model does Asset Class use?

Asset Class uses Claude, the AI model built by Anthropic. Athena, the AI layer of Asset Class, embeds Claude across the platform and connects it to your records, documents and actions. Asset Class accesses Claude through Anthropic's commercial API, so your firm's data is never used to train AI models. Each agent can only see and act on data its user is permitted to access.

Does Asset Class automate data entry?

Yes, Asset Class captures data from the sources your firm already has. Athena, the AI layer of Asset Class, scans subscription agreements, side letters, statements, notices, meeting transcripts, email, calendars and external data sources, then stages the extracted details on the right record. Nothing Athena stages updates a record until a permitted user signs off, and each approver is logged.